Siwen Zhang

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Data Scientist & Bioinformatics Engineer based in Amsterdam, focusing on translational medicine and AI-driven health analytics.

Hi there, welcome to Siwen’s website!

I’m a data scientist with a passion for translating complex biological data into actionable insights. My background in bioinformatics and machine learning has allowed me to develop innovative solutions for a variety of healthcare challenges. I’m excited to share my work and collaborate with others in the field to drive progress in translational medicine.

My story

I design and productionize analytical workflows that translate multi-omics and clinical signals into actionable diagnostics. Over the last seven years I have led machine learning and bioinformatics programs for tumor and rare disease detection, pathogen surveillance, and cell and gene therapy support. I thrive at the interface of R&D and engineering-pairing rigorous statistics with scalable pipelines so clinicians and regulatory teams can trust the science.

Currently, I am preparing for my MSc in Data Science at Leiden University (2025–2027). Previously, as a Middle Bioinformatics Engineer at Precision Scientific and GrandOmics Biosciences, I built MRD analytics, whole-genome doubling QC strategies, targeted capture assays, and pathogen intelligence systems used across oncology and infectious disease portfolios. Earlier, at Geneis Beijing, I co-developed liquid-biopsy MSI assays and translational biomarker pipelines for lung and gastric cancer studies.

I’m open to collaborations around clinical AI, translational data science, and digital health productization-feel free to drop me a note at aristazhang521@outlook.com or call (+31) 0626049080.

Key focus areas

  • Translational bioinformatics & computational genomics
  • Liquid biopsy & cfDNA & Minimal residual disease (MRD)
  • Cell therapy & pathogen surveillance data analytics
  • AI/ML for disease diagnostics
  • Multi-omics data integration & visualization

Professional snapshot

  • Precision Scientific (2021–2024): Led MRD analytics, viral vector QC, and ML classifiers for gynecological oncology studies; contributed to national HRD reference standards.
  • GrandOmics Biosciences (2019–2021): Built China’s first targeted capture product on long-read sequencing, pathogen surveillance systems on Galaxy, and benchmarking suites across NGS/TGS platforms.
  • Geneis Beijing (2017–2019): Developed targeted amplification panels and CNV/MSI analytics spanning lung, gastric projects, and multi-omic studies on mice germ cells.

Education

  • MSc Data Science (Computer Science) - Leiden University, The Netherlands (2025–2027)
  • MSc Bioinformatics - The University of Edinburgh, UK (2015–2016)
  • BEng Biomedical Engineering - Northeastern University, China (2011–2015)

Certifications